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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    instances of the word "scroll" with various intensities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "scroll" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stood
    -0.77
    noxious
    -0.76
    tained
    -0.68
    ilities
    -0.67
    ourke
    -0.67
     Palestin
    -0.67
    ften
    -0.67
    responsible
    -0.67
    rome
    -0.66
     Glas
    -0.66
    POSITIVE LOGITS
     scroll
    1.30
     Scroll
    1.19
     scrolls
    1.10
     scrolling
    1.06
    scroll
    1.01
    efully
    0.83
    antry
    0.82
    wheel
    0.79
    ysc
    0.72
    worms
    0.70
    Activations Density 0.009%

    No Known Activations